Papers by Raj Bhensadadia
Disagreement Matters: Preserving Label Diversity by Jointly Modeling Item and Annotator Label Distributions with DisCo (2023.findings-acl)
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Tharindu Cyril Weerasooriya, Alexander Ororbia, Raj Bhensadadia, Ashiqur KhudaBukhsh, Christopher Homan
| Challenge: | a recent study shows that annotator disagreement is common in supervised learning . a simple neural model that learns to predict annotators' labels is competitive with other models that do not model specific annotations. |
| Approach: | They propose a neural model that learns to predict annotator distributions by aggregating over all annotators. |
| Outcome: | The proposed model outperforms models that do not model specific annotators or do not learn label distribution learning. |